Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma).

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第一作者： Alice R,Owens

第一单位： School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, 18 Malone Road, Belfast, BT9 5BN, Northern Ireland, UK.

作者： Alice R,Owens ^[1] ; Caitríona E,McInerney ^[2] ; Kevin M,Prise ^[2] ; Darragh G,McArt ^[2] ; Anna,Jurek-Loughrey ^[3]

作者单位： School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, 18 Malone Road, Belfast, BT9 5BN, Northern Ireland, UK. ^[1] Patrick G. Johnson Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland, UK. ^[2] School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, 18 Malone Road, Belfast, BT9 5BN, Northern Ireland, UK. a.jurek@qub.ac.uk. ^[3]

关键词 Autoencoders Clustering Deep learning Hepatocellular carcinoma Liver cancer Prognostic subgroups Survival analysis

主题词癌, 肝细胞(Carcinoma, Hepatocellular);人类(Humans);肝肿瘤(Liver Neoplasms);预后(Prognosis);RNA, 信使(RNA, Messenger)

DOI 10.1186/s12859-021-04454-4

PMID 34819028

发布时间 2021-11-30

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